jgarciasuarez.github.io

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About me

Joaquin Garcia-Suarez

As of January 2024, I am a SNSF Ambizione Fellow at the Computational Solid Mechanics Laboratory, Prof. Molinari’s group at EPFL. I received a PhD in aeronautics from the Graduate Aerospace Laboratories at the California Institute of Technology (GALCIT, minor in applied and computational mathematics).

I am a mechanician working on topics pertaining to multiscale data-driven modeling of friction (mainly) and material deformation, tribology and interface phenomena, wave propagation, earthquake engineering… and the intersections thereof.

I approach problems as an engineer but without shying away from the theoretical and numerical aspects; in the words of Prof. Hans Liepmann: “understanding of fundamentals with an appreciation for applications”.

The tools I use to tackle problems are numerical methods, applied mathematics and data-based approaches. You can find materials to reproduce almost every result I have ever published in the thematic repositories in my Github profile (just click the banner on the left); in general, each reposotory corresponds to one publication.

Research topics I’m currently interested in and relevant contributions:

For a comprehensive up-to-date list of publications, please visit my Google Scholar profile.

Phenomenological constitutive laws have traditionally been used to model both frictional phenomena and material mechanical response, particularly for computational analysis. Event though some materials can be faithfully represented accurately in certain conditions, oftentimes complex behavior (damage, cyclic loadind, dissipation) is either not properly captured or represented at the expense of a large set of parameters that require painstaking calibration. The new data-driven computational mechanics paradigm presents an alternative that works directly with datasets (either experimental or mined from micromechanical simulations) thus avoiding both modeling biases and calibration altogether.

Wattel, S., Molinari, J. F., Ortiz, M., & Garcia-Suarez, J. (2023). Mesh d-refinement: a data-based computational framework to account for complex material response. Mechanics of Materials, 180, 104630. link

Garcia‐Suarez, J., Cornet, A., Wattel, S., & Molinari, J. F. (2023). Data‐driven 1D wave propagation for site response analysis. International Journal for Numerical and Analytical Methods in Geomechanics, 47(15), 2691-2705. link

Utilizing numerical simulations to capture the micro and nano phenomena that control the creation of wear debris and the emergence of friction during sliding of contacting surfaces.

Garcia-Suarez, J., Brink, T., & Molinari, J. F. (2023). Breakdown of Reye’s theory in nanoscale wear. Journal of the Mechanics and Physics of Solids, 173, 105236. link

The goal is to comprehend how the mechanical properties of the layering of a certain system affect the propagation of waves in it. This can impact a number of (apparently) different fields: for instance, it can help design dispersion relations in laminates, or it can allow assessing the influence of certain soil strata in seismic ground amplification. The knowledge of the exact form of the entries of the global transfer matrix (see publication titled “Harmonic decomposition of the trace of 1D transfer matrices in layered media”) could resolve open questions, e.g., how to “engineer” the soil stratification to act as a seismic wave barrier. Moving forward, I would like to explore the performance of layered structures as analog computers, in particular when it comes to efficient hardware to implement neural networks.

Garcia-Suarez, J. (2022). Harmonic decomposition of the trace of 1D transfer matrices in layered media. Journal of the Mechanics and Physics of Solids, 163, 104830. link

Understanding the mechanics of seismic response of rock towers (a certain kind of fragile geological feature) using FEM simulations along with structural engineering models, to later update seismic hazard estimations.

Donnellan, A., Garcia‐Suarez, J., McPhillips, D., Asimaki, D., Goulet, C., Meng, X., Devine, S., & Lyzenga, G. (2022). Toppling of a Trona Pinnacles Spire following the M w 5.5 Ridgecrest Aftershock of June 2020. Seismological Society of America, 93(3), 1768-1776. link

Assessing ground deformation during earthquake events under idealized conditions, and how to define equivalent homogeneous properties and simple results that could be incorporated to seismic design codes.

Garcia-Suarez, J., Seylabi, E., & Asimaki, D. (2022). Application of ray methods to one-dimensional site response of inhomogeneous soil deposits. Géotechnique, 1-12. link

Teaching experience

I have been a teaching assistant for Prof. Asimaki’s class AM/CE 151a Dynamics and Vibrations (Fall 2017, Fall 2018 and Fall 2019).

Moreover, I have had a chance to teach one special lecture on Dimensional Analysis (Prof. Asimaki’s class ME 12b Mechanics, Winter 2019) and another one on Dynamic Fracture Mechanics (Prof. Rosakis’ class Ae265a Static and Dynamic Failure of Brittle Solids and Interfaces, Fall 2019). During my time at EPFL, I have occasionally taught Continuum Mechanics lectures when Prof. Molinari was not available.

Awards